AI Engineer & Full-Stack Developer | Virginia Tech CS Dec.'25 | Based in Redmond, WA

I build production AI systems, agentic workflows, and full-stack applications. My work spans AI safety research, real-time inference platforms, and secure backend systems. I'm passionate about AI that serves people responsibly — not just impressively.

AI-powered child safety research system — Virginia Tech

Real-time threat detection using RAG architecture and LangChain to classify online grooming patterns across thousands of conversational samples. Built with FastAPI, Next.js, OpenAI embeddings, and strict context boundary enforcement for responsible AI deployment.

Stack: Python · FastAPI · LangChain · RAG · Next.js · React · Docker · AWS

🥇 Best Auth0 Implementation — Hackathon Winner

Real-time AI fitness coach that detects emotional state via facial expression analysis at 25-30 FPS and dynamically adjusts personalized Spotify playlists based on detected mood. Built with TensorFlow.js, MediaPipe, React, Node.js, and Auth0.

Stack: TensorFlow.js · MediaPipe · PyTorch · React · Node.js · FastAPI · Spotify API · Auth0 · AWS

🥇 Best Financial Hack — Capital One Sponsor Prize

AI-powered platform for women combining a menstrual cycle-aware scheduler, LangChain-powered sentiment analysis journaling, community networking, and a points-based skill exchange marketplace. Supporting dozens of active users.

Stack: React · TypeScript · FastAPI · Python · LangChain · MongoDB · AWS Lambda · AWS Cognito · Docker

Production AI analytics platform — PostBuzz Internship, Redmond WA

Real-time LinkedIn analytics dashboard with OAuth2 integration, AI-powered content insights, and engagement metrics. Built and deployed during my internship at PostBuzz.

Stack: FastAPI · Next.js · React · OAuth2 · TypeScript · Docker · Kubernetes · AWS

Languages

AI & ML

Frameworks & Cloud